nn/nn.ts

52 lines
1.6 KiB
TypeScript

import { default as M, Cloud } from "./m.ts";
export type N = Array<Array<Array<number>>>
const Label = (inSet:any, inData:Cloud.M, inLabel:Cloud.V):N =>
{
if(!inSet){inSet = [[], []];}
if(inSet.length == 0){inSet.push([]);}
if(inSet.length == 1){inSet.push([]);}
inData.forEach((row:Cloud.V) =>
{
row.push(1);
inSet[0].push(row);
inSet[1].push(inLabel);
});
return inSet;
};
const Forward = (inStages:N, inLayers:N):Cloud.M =>
{
let i:number;
let process = (index:number):Cloud.M => M.Batch.Sigmoid(M.Batch.Affine(inStages[index], inLayers[index]));
for(i=0; i<inLayers.length-1; i++)
{
inStages[i+1] = M.Mutate.Pad(process(i));
}
inStages[i+1] = process(i);
return inStages[i+1];
};
const Backward = (inStages:N, inLayers:N, inGoals:Cloud.M, inRate:number):void =>
{
let i:number;
let errorBack:Cloud.M = M.Batch.Subtract(Forward(inStages, inLayers), inGoals);
for(i=inLayers.length-1; i>=0; i--)
{
let layerMatrix:Cloud.M = inLayers[i];
let layerInput:Cloud.M = inStages[i];
let layerOutput:Cloud.M = inStages[i+1];
let errorScaled:Cloud.M = M.Batch.Multiply(errorBack, M.Batch.Derivative(layerOutput));
errorBack = M.Batch.Affine(errorScaled, M.Create.Transpose(layerMatrix));
errorScaled.forEach((inScaledError:Cloud.V, inIndex:number)=> {
const deltas = M.Batch.Scale(M.Create.Outer(layerInput[inIndex], inScaledError), inRate);
layerMatrix = M.Batch.Subtract(layerMatrix, deltas);
});
}
};
export { Label, Forward, Backward };
export type { Cloud };